1 Summrary
性格外向开朗，擅长与人沟通。技术背景，热爱互联网，擅长信息检索分析与数据可视化。优秀的英文检索阅读能力，热爱搜集分析数据，优秀的产品/数据sense。
2 Work Exp/Edu Exp
- 2019.7-2021.1 Ericsson Network Engineer/Data Scientist
- 2015-2019 Xi’an Shiyou University, Computer Science
3 Project/Paper/Workshop
Network Issue Classification Sep. 2020 – Now
Data Scientist/Network Engineer NDO(Network Design Optimization) AI Lab in Ericsson
Background: The network nodes are filled with kpi data, which are highly correlated with the user’s perception. Our task is to apply machine learning algorithms to isolate the abnormal nodes in the network and classify the issue to improve user perception (structured data and unstructured data).
- Design EDA pipeline using Python, cleaning data and visualization for analysis (pandas, numpy, matplotlib, seaborn)
- For structured data, collaborate with other data scientists to design anomaly detection algorithms(auto- encoder) to isolate anomalous nodes
- For unstructured data, design and implement struc2vec algorithm for anomaly detection clustering, get the network nodes embedding
- Use dimension reduction (tsne), clustering algorithm (k-means) for dimension reduction and network anomaly node clustering, quantitatively evaluate the clustering results (silhouette coefficient)
- Separate the kpi pattern of each class form the cluster results, use seaborn to visualization and analysi
5G feature test/analysis Nov. 2019 – 2020
Network Engineer/Data Analysis
Background: Cooperate with 5G RD team to test new 5G features, use industry software to record log, clean and analyze log data with Python, perform visualization analysis, write test reports, give feedback to RD team for iteration.
- Using Python pandas to clean log data, matplotlib, seaborn to visualize analysis results
- Visualize gps and 5G signal data using falium package
- Act as team leader to communicate and coordinate RD and testers, assign tasks
- Write test reports, evaluate test results, and give feedback to the RD team
4 Skills
- Proficiency in SQL and Python for data cleaning, analysis and visualization
- Familiar with the common machine learning algorithms (sklearn, keras)
- Platform and tool chain: Python, Pycharm, Jupyter, Linux, Git, SQL, Bash, good coding habits
- Fluent in spoken and written English
- Good logical thinking and communication skills, strong resistance to stress, good team player
- Excellent English search and reading skills, love to collect and analyze data, excellent product/data sense
5 Honors and Awards
- Top performing employee(EI) Excellent Impact Ericsson 2020
- BMAS - Certificate of Experienced Level for Machine Learning Ericsson 2020
6 List of Artical
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